Search by:
Year of publication
Author name
Paper title
Improved method of emotional condition recognizing by voice using semantic analysis of content
Full text (PDF)
UDC: 004.89:004.93
Publication Language: Ukrainian
Stuc. intelekt. 2018; 23(1):22-27
Abstract: In the article the improved method of emotional condition recognizing by voice is described. The improvement was made by feature vector expansion. The feature of emotional tone of the statement based on semantic analysis is added. Requirements for structure modification the recognition system and the schema of ontology and term database are described. A numerical research showed an increase of emotional recognition probability compared to the results without the use of semantic analysis.
Keywords:
References:
- Metod rozpiznavannia emotsiinoho stanu dyktora za frazovymy modeliamy / M.S. Klymenko // Shtuchnyiintelekt. – 2017. – №2. – S. 52-59.
- Izard K.E. Psikhologiya emotsiy. - SPb: Izdatelstvo "Piter". 1999. - 464 s.
- Alpert M. Reflections of depression in acoustic measures of the patient’s speech / M. Alpert, E.R. Pouget,R.R. Silva // Journal of Affective Disorders. – 2001. – №66. – P. 59–69.
- Banziger T. The role of intonation in emotional expressions / T. Banziger, K.R. Scherer // SpeechCommunication. – 2005. – №46. – P. 252–267.
- Vydana H.K. Improved emotion recognition using GMM-UBMs / H.K. Vydana, P.P. Kumar, K.S.R. Krishna,A.K. Vuppala // 2015 International Conference on Signal Processing and Communication Engineering Systems,Guntur. – 2015. – P. 53-57.
- Klymenko M.S. Rozrobka struktury systemy rozpiznavannia emotsiinoho stanu dyktora / M.S. Klymenko,F.V. Fomin // Shtuchnyi intelekt. – 2016. – № 1. – S. 17-26.